Machine Learning for Oracle Database Professionals (eBook)

Kai has been a frequent speaker at various IT/Oracle conferences with over 200 presentations in more than 20 countries. He also authored 36 articles in technical journals such as IEEE Transactions on Big Data, and has co-authored the Apress book Expert Oracle RAC12c. He has been an Oracle ACE Director since 2010, and has served on the IOUG/Quest Conference committee and served as IOUG RAC SIG president and IOUG CLOUG SIG co-founder and vice president. He received the 2011 OAUG Innovator of Year award and the 2012 Oracle Excellence Award: Technologist of the Year: Cloud Architect by Oracle Magazine. He holds two master's degrees in computer science and engineering from the Huazhong University of Science and Technology and the University of Wyoming. 

 

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Database developers and administrators will use this book to learn how to deploy machine learning models in Oracle Database and in Oracle's Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML Notebooks, OML4R, and OML4Py. The book focuses on Oracle Machine Learning as part of the Oracle Autonomous Database collaborative environment. Also covered are advanced topics such as delivery and automation pipelines.Throughout the book you will find practical details and hand-on examples showing you how to implement machine learning and automate deployment of machine learning. Discussion around the examples helps you gain a conceptual understanding of machine learning. Important concepts discussed include the methods involved, the algorithms to choose from, and mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much to like in this book as it helps you step up and use your current knowledge of Oracle Database to transition into providing machine learning solutions.What You Will LearnUse the Oracle Machine Learning (OML) Notebooks for data visualization and machine learning model building and evaluationUnderstand Oracle offerings for machine learningDevelop machine learning with Oracle database using the built-in machine learning packagesDevelop and deploy machine learning models using OML4SQL and OML4RLeverage the Oracle Autonomous Database and its collaborative environment for Oracle Machine LearningDevelop and deploy machine learning projects in Oracle Autonomous DatabaseBuild an automated pipeline that can detect and handle changes in data/model performance Who This Book Is ForDatabase developers and administrators who want to learn about machine learning, developers who want to build models and applications using Oracle Database s built-in machine learning feature set, and administrators tasked with supporting applications on Oracle Database that make use of the Oracle Machine Learning feature set